1 / 32

HLT- Roadmapping

The Roadmap goes ever on and on Down from the institute where it began. Now far ahead the Roadmap has gone, And we must follow, if we can, Pursuing it with eager feet, Until it joins some larger way Where many paths and errands meet. And whither then? I cannot say.

amos
Download Presentation

HLT- Roadmapping

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. The Roadmap goes ever on and onDown from the institute where it began.Now far ahead the Roadmap has gone,And we must follow, if we can,Pursuing it with eager feet,Until it joins some larger wayWhere many paths and errands meet.And whither then? I cannot say. Frodo’s song, free after J.R.R. Tolkien HLT-Roadmapping the Low Lands and Europe

  2. Antal van den Bosch • Language technology • Machine Learning • Tilburg University • Arjan van Hessen • Speech technology • Twente University • Telecats

  3. HLT Roadmaps, Then and now • HLT roadmaps in the Low Countries & EU • Then, now, plans for the future • HLT: broadly or narrowly speaking? • Overlap with HCI, AI • Application areas: Health, security, gaming • Software engineering • Whither fundamental research? • New roadmaps • In the African context

  4. ELSNET Roadmap (2002)

  5. Roadmap (technology) Fundamental HLT Emotion detection Machine Learning Image processing HLT Pilots Database Technology Workflow systems HLT Applications Information Retrieval PABX Education control Seriousgaming

  6. Roadmap (partners) Fundamental HLT HLT Pilots HLT Applications Users

  7. 1990-2000 • Strong focus on academic research. • Collaboration of academia with the research departments of some (big) industries • Fundamental LST-research • SPIN (NL 1988-1994) • TST (NL 1995-2000) • Korte TermijnProgramma’s (FL) • Resources • Celex (1986 – 2001) • Batavo (2000) • Corpus Spoken Dutch (1998-2004) • Twente News Corpus (1998 - ) • Infrastructure & Networking • Elsnet (1991 – 2004) • NOTaS (2000 - )

  8. Research Signal processing G2P Speech processing Semantic web Parsing Phonetic research

  9. 2000-2010 • Technology becomes mature and useful • Applications move from the academic labs to industrial labs, (commercial) pilots and real world applications. • Because basic HLT starts to work, “adjacent” technologies become interested too! • Scientific programs reflect these developments: industrial partners are moving in

  10. 2000-2010

  11. Current state & near future • Because HLT is “working” (although not perfect), less money is available for fundamental HLT-research • Tendency to stress what already works is strengthened by valorisation demands • HLT is used as an enabling technology • In various application areas (education, cure&care, humanities, governmental structures, safety, etc) • In most new (National AND International) programmes, HLT is part of the research: not the main part of it! • Again, tendency to stress what already works, to be a useful partner

  12. From technology to clients

  13. Be prepared • As an HLT community, be prepared to step into other large initiatives • In other areas, such as • Occasional national funding possibilities • Multidisciplinary opportunities • With social sciences, life sciences, exact sciences, humanities • E.g. NWO: three areas, large-scale • Resource / infrastructure funds • NWO Groot / Middelgroot • Hercules • ESFRI

  14. Software engineering There is a substantial gap between • Academic hacking and • Real software development • Software architecture design • Choices of frameworks, standards, languages • Programming • Unit testing and quality control • Release • Bug reporting • Maintenance

  15. Whither fundamental research? • HLT shares fundaments with • AI, HCI, cognitive science • [applied|theoretical|socio|psycho] linguistics • We share some deep, fundamental challenges • If we want to continue being innovative, we NEED to tie in with • Reasoning, planning, & search • Common sense & world knowledge • Human factors in HCI • Else, we stop being a field of innovation

  16. A fresh roadmap • For South Africa • Learning from past: Low Countries / EU • Some fundamental choices: • Alliances with other fields • Software, resources • Fundamental research goals • Utilizing current initiatives • NHN (http://www.meraka.org.za/nhn) • AfLaT (http://www.aflat.org) • ALT-I (http://www.alt-i.org) • Bisharat (http://www.bisharat.net) • Anloc (http://www.africanlocalisation.net)

  17. The african context • Language technology researchers for African languages over the continent face typical, similar problems: • Complex morphology • Noun classes • Encoding • Tonality • Resource-scarceness • But no central point to access information (e.g. links, forums, publications) • 1 central resource point might improve visibility of African Language Technology

  18. AfLaT.org • Community-driven portal dedicated to language (and speech) technology for African languages • Share information (own work, interesting links to other people’s works) • Backbone = drupal content management

  19. Developments Dictation in controlled environments Spoken Command&Control Traintable information When both hands are needed

  20. Developments Lip reading Spelling control Translation software Educational software Automatic summarization Searching in large audio-data

  21. Zorg, care en cure, open democracy, education, heritage, Bio food, Road map coming from stevin demo Real world applications

  22. Oral History digitalized(historic) collections Digital recorded collections H.M. Koningin Wilhelmina Second Feministic Wave Buchenwald Memories of Indonesia

  23. Spoken and written self service Getting your daily newspaper if it was not delivered,by identifying yourself over the telephone (Speech Recog) In the evening the “newspaper” is calling you to ask if everything is ok.If not, a human is taking over.

  24. Speech analitics Analyzing 40K calls/per day in call centres, to tell the management why people are calling. What is the reasonyou are of callingus?

  25. Real World Applications • GemeenteConnect: asking questions to your local authorities • Q-A on the web: asking questions in a “natural way” • HLT for dyslectic children (6 – 12 year) • Monitoring elderly patients by Q-A over the phone • 48 other RW application recently described

  26. Current state • The economic potential and societal importance of language and speech technologies in Services and ICT • In information and communication, people are naturally drawn to the means that nature gave them to express messages in natural language, and to understand the messages of others. • While having embraced the computer and new ICT technologies, and having acquired the ability to use the mouse and the desktop metaphor, people still have complex desires and questions that remain best expressed in the form of words. • In order to offer their services in a maximally effective way, it is vital that computers step up from their current “silent” state into being talking and understanding “intelligent systems”.

  27. Questions? Why collaborate Low Countries and South Africa? What’s in for me/you Roadmap, but to what? Economic efficiency, social issues, educational issues?

More Related